Recent simulations on perfect lysozyme crystals suggest <100 nm to be the upper limit for refinement to R work < 30% at 2.5 Å resolution (Subramanian et al., 2015 ▸), but the authors note that effects not accounted for by the <span class="lh">simulation may influence the estimate.
Multi-agent simulation To gain better understandings of the system and investigate how individual behaviours may influence the overall performance, multi-agent simulation, a powerful technique in OR and AI, will be a more suitable method.
Utilizing a different k value may influence power and FDR estimates for a given simulation, though from these simulations it appears that decreases in performance would mainly occur when utilizing a substantially lower k value.
In order to investigate how the corrugation wavelength may influence the results from the track model and the wheelset models, simulations are carried out when the rail roughness is described by a white-noise band function.
To identify and better understand the factors that may influence the shape of CBATs, we performed additional hypothetical simulations in a series of sensitivity analyses.
We suggest that some factors such as ionic strength and pH of buffer may influence the real interactions to cause different results than expected in simulations.
The results obtained were within the international recommendations, and the simulations showed that the components of the extrapolation chamber may influence its response up to 11.0%.
For optimising such simulation studies on disease risks, however, a better understanding of how biodiversity may influence the ecology of tick and pathogen transmission is required.
In this paper, we describe how we have used multi-scale computational simulations, supported by experimental data, to explore how local differences in intercellular contact may influence intracellular signalling, with implications for individual cell response and population heterogeneity.
